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A novel cross-validation strategy for artificial neural networks using distributed-lag environmental factors
In recent years, machine learning methods have been applied to various prediction scenarios in time-series data. However, some processing procedures such as cross-validation (CV) that rearrange the order of the longitudinal data might ruin the seriality and lead to a potentially biased outcome. Rega...
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| Опубликовано в: : | PLoS One |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7790373/ https://ncbi.nlm.nih.gov/pubmed/33411794 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0244094 |
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